Tool detail
AiSpace Venice
Returns text embeddings from a chosen Venice model for a string or array of strings, for retrieval, RAG or semantic search.
Categories: LLM inference
Use when
- generate embeddings for documents to index in a vector store
- embed a query for semantic search or RAG retrieval
Not for
- not chat completions or image/video generation (other AiSpace endpoints)
- not usable with a default model — resolve a model id first via GET /api/v1/models
Inputs
POST JSON body: model (string, required, resolve via GET /api/v1/models?type=embedding), input (string or string array, required).
Inputs undocumented: untyped schema node
Endpoint
- Method
POST- URL
https://x402.aispace.bot/api/v1/embeddings
Payment
- Protocol
- x402
- Listed price
- 0.01 USDC per call on Base
- Payment method
- exact
- Network
- eip155:8453
- Asset
- 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913
Listed terms are catalog metadata. The caller supplies inputs and calls the tool outside Onelayer. If payment is required, the caller uses a compatible wallet to pay.
Source
- Directory
- Coinbase x402 Bazaar
- Record
- POST https://x402.aispace.bot/api/v1/embeddings
- Retrieved
- 2026-09-30T20:37:07.382Z
- Catalog file SHA-256
6837ccddf886f0007cf3727ea9d27faaa5047b51b4f425345c554ce1c271a524- Catalog built
- 2026-09-30T22:31:58.034Z